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IEEE Transactions on Pattern Analysis and Machine Intelligence|October 11, 2023
Bipartite Ranking Fairness Through a Model Agnostic Ordering AdjustmentSen Cui, Weishen Pan, Changshui Zhang, et al.Patterns (New York, N.Y.)|January 24, 2024
An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitalsWeishen Pan, Zhenxing Xu, Suraj Rajendran, et al.IEEE Transactions on Neural Networks|August 2, 2011
Unsupervised large margin discriminative projectionFei Wang, Bin Zhao, Changshui ZhangIEEE Transactions on Neural Networks|April 4, 2009
Block-quantized support vector ordinal regressionBin Zhao, Fei Wang, Changshui ZhangIEEE Transactions on Neural Networks|January 20, 2010
Linear time maximum margin clusteringFei Wang, Bin Zhao, Changshui ZhangPLOS Digital Health|March 15, 2023
Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical careSuraj Rajendran, Zhenxing Xu, Weishen Pan, et al.Nature Communications|July 7, 2026
Empowering clinical trial design with agentic intelligence and real-world dataHaoyang Li, Weishen Pan, Suraj Rajendran, et al.Nature Communications|May 12, 2025
Identification of predictive subphenotypes for clinical outcomes using real world data and machine learningWeishen Pan, Deep Hathi, Zhenxing Xu, et al.Patterns (New York, N.Y.)|February 19, 2024
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovationSuraj Rajendran, Weishen Pan, Mert R Sabuncu, et al.IEEE Transactions on Neural Networks|January 15, 2011
Semisupervised learning using negative labelsChenping Hou, Feiping Nie, Fei Wang, et al.Pageof 1,159